separation_trace
Answered against 22 years of US equities and 12 years of US options data and published with the query that produced it. This result is stored as of 2026-09-26, from jnj-dividend-increase-history.
| ex_date | ex_date_label | dividend_per_share | pay_date_label |
|---|---|---|---|
| 2022-02-18 | Feb 18, 2022 | 1.06 | Mar 8, 2022 |
| 2022-05-23 | May 23, 2022 | 1.13 | Jun 7, 2022 |
| 2022-08-22 | Aug 22, 2022 | 1.13 | Sep 6, 2022 |
| 2022-11-21 | Nov 21, 2022 | 1.13 | Dec 6, 2022 |
| 2023-02-17 | Feb 17, 2023 | 1.13 | Mar 7, 2023 |
| 2023-05-22 | May 22, 2023 | 1.19 | Jun 6, 2023 |
| 2023-08-25 | Aug 25, 2023 | 1.19 | Sep 7, 2023 |
| 2023-11-20 | Nov 20, 2023 | 1.19 | Dec 5, 2023 |
| 2024-02-16 | Feb 16, 2024 | 1.19 | Mar 5, 2024 |
| 2024-05-20 | May 20, 2024 | 1.24 | Jun 4, 2024 |
| 2024-08-27 | Aug 27, 2024 | 1.24 | Sep 10, 2024 |
| 2024-11-26 | Nov 26, 2024 | 1.24 | Dec 10, 2024 |
| 2025-02-18 | Feb 18, 2025 | 1.24 | Mar 4, 2025 |
| 2025-05-27 | May 27, 2025 | 1.3 | Jun 10, 2025 |
| 2025-08-26 | Aug 26, 2025 | 1.3 | Sep 9, 2025 |
| 2025-11-25 | Nov 25, 2025 | 1.3 | Dec 9, 2025 |
| 2026-02-24 | Feb 24, 2026 | 1.3 | Mar 10, 2026 |
| 2026-05-26 | May 26, 2026 | 1.34 | Jun 9, 2026 |
| 2026-08-25 | Aug 25, 2026 | 1.34 | Sep 8, 2026 |
- Rows × columns
- 19 × 4
- Period covered
- to
- Computed
- Completeness
- No missing values
- Source
- US exchange, SIP and OPRA market data
- Licence
- Strasmore terms · free, no signup
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
ex_date |
date | 2022-02-18 to 2026-08-25 | |
ex_date_label |
text | 19 distinct values (Aug 22, 2022, Aug 25, 2023, Aug 25, 2026…) | |
dividend_per_share |
number | 1.06 to 1.34 | |
pay_date_label |
text | 19 distinct values (Dec 10, 2024, Dec 5, 2023, Dec 6, 2022…) |
Computed from Strasmore's warehouse of US exchange, SIP and OPRA market data. Equity prices are delayed; options greeks and implied volatility are end-of-day. This result is stored, not recomputed on load — it is exactly the numbers that were returned on , and the query below is what returned them.
Run it yourself
This is the exact query behind the result above. Change a ticker, a date or a column and run it against the warehouse — no account, no key. The no-signup tier is smaller than the one this page was computed on; a query that reaches past it comes back saying which plan runs it.
SELECT
ex_dividend_date AS ex_date,
formatDateTime(ex_dividend_date, '%b %e, %Y') AS ex_date_label,
round(max(toFloat64(cash_amount)), 4) AS dividend_per_share,
formatDateTime(max(pay_date), '%b %e, %Y') AS pay_date_label
FROM global_markets.stocks_dividends
WHERE ticker = 'JNJ'
AND frequency = 4
AND ex_dividend_date >= '2022-01-01'
AND ex_dividend_date < '2027-01-01'
GROUP BY ex_dividend_date
ORDER BY ex_dividend_date
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